GridGain Systems Events

Upcoming and Previous Speaking and Exhibitor Appearances

Upcoming Events
Intensive learning. Actionable insight. Invaluable takeaways for technical professionals Game changers like cloud, big data, mobile, DevOps, analytics, SaaS, AI, IoT, and more are advancing rapidly, creating new digital opportunities and a new technology ecosystem that’s diverse and complex. But what are the skills and resources needed to architect and manage it? Discover the answers you need at Gartner Catalyst Conference 2018.
Valentin (Val) Kulichenko, lead architect at GridGain Systems, will be leading a hands-on workshop at the Metis: San Francisco Data Science Meetup on August. 22 from 6-8 p.m. The title of the workshop is: In-Memory Computing Essentials for Data Scientists This two-hour workshop is a must-attend event for all data scientists!  
Denis Magda, director of product management at GridGain Systems, will be a featured speaker at the Aug. 23 Bay Area In-Memory Computing Meetup in Menlo Park, Calif. The title of his talk will be: "Best Practices for Deploying Distributed Databases and In-Memory Computing Platforms with Kubernetes."
GridGain technology evangelist Akmal Chaudhri will be a featured speaker at FOSSCON 2018 in Philadelphia on August 25.
GridGain technology evangelist Akmal Chaudhri will be the featured speaker at the Greater Atlanta Internet of Things (GAIT) Meetup on Aug. 27. The title of his talk: "Speeding-up the IoT: Best practices for stream ingestion, processing and analytics using in-memory computing."
In this webinar, Akmal Chaudhri, Technology Product Evangelist for GridGain and Apache Ignite, will introduce the fundamental capabilities and components of a distributed, in-memory computing platform. With increasingly advanced coding examples, architects and developers will learn about:
Lors de ce Webinar en Anglais, Akmal Chaudhri, Promoteur des Produits GridGain System et Apache® Ignite™, présentera les capacités et les composantes fondamentales de la plateforme d’In-Memory Computing avec Apache Ignite et vous expliquera comment passer de la théorie à la pratique. Grâce à des exemples de plus en plus codés, les architectes et développeurs apprendront :Le traitement colocalisé, Le traitement colocalisé pour l’informatique distribuée,Le traitement colocalisé pour les SQL (raccords distribués et autres), L’usage distribué permanent.  
GridGain technology evangelist Akmal Chaudhri will be in Atlanta Aug. 28 as a special guest speaker at the Big Bang Data Science – Georgia Meetup. The title of his talk will be: "Improving Apache Spark™ In-Memory Computing with Apache Ignite™" Akmal will share how Apache Ignite simplifies development and improves performance for Apache Spark. He'll explain, with insightful examples, how Apache Spark and Ignite are integrated -- and how they are used together for analytics, stream processing and machine learning.
Once your Apache® Ignite™ or GridGain® cluster goes in production, you will need to keep an eye on its state. You will also have to manage your deployment throughout its lifetime. These tasks might seem challenging, but managing and monitoring distributed systems is not cumbersome if you have a right toolkit. In 1-hour webinar, Andrey Evsukov, Head of Operations at GridGain Systems, will:
GridGain technology evangelist Akmal Chaudhri will be the lead speaker at the Aug. 29 gathering of the NYC In-Memory Computing Meetup. The title of Akmal's talk will be: "Machine and Deep Learning with Apache® Ignite™." Apache Ignite Release 2.4 added built-in machine learning (ML) and deep learning (DL). It not only eliminates any delays caused by transferring data to a different database or store.  It delivers near real-time performance by running a variety of ML and DL algorithms in place, in memory, that are optimized for collocated processing.
GridGain technology evangelist Akmal Chaudhri will be the featured speaker at the New York City PostgreSQL User Group's Aug. 30 meetup. The title of his talk will be: "PostgreSQL with Apache Ignite: Faster Transactions and Analytics."
Learn the best practices used for real-time stream ingestion, processing and analytics using Apache® Ignite™, GridGain®, Kafka™, Spark™ and other technologies.  Join GridGain System’s Director of Product Management and Apache Ignite PMC Chair Denis Magda for this 1-hour webinar
The In-Memory Computing Summit 2018 is the only industry-wide event which focuses on the full range of in-memory computing-related technologies and solutions held in North America. Attendees will learn about the role of in-memory computing in the digital transformation of enterprises. The conference is attended by technical decision makers, business decision makers, architects, CTOs, developers and more who make or influence purchasing decisions about in-memory computing, Big Data, Fast Data, IoT and HPC solutions.
Past Events
Вебинар уже прошел, но вы можете получить доступ к видео, заполнив форму. На вебинаре мы рассмотрим принципиальные различия вертикального и горизонтального масштабирования баз данных, диктуемые этими различиями особенности архитектуры. Сравним, как эта возможность реализована в самых популярных open source проектах и коснемся приципиальных характеристик, на которые нужно обратить внимание при проектировании архитектуры.
This 1-hour webinar presented by GridGain System’s Sr. Technical Consultant Lucas Beeler will discuss architectural best practices many companies have used in their journey to multi-cluster computing applications.
GridGain Cloud, which enables companies to create an in-memory SQL and key-value database in minutes, is now in Beta. Learn from the experts how to use GridGain Cloud, and get up and running. This 60-minute hands-on session will:
GridGain technology evangelist Akmal Chaudhri will speak at the first international Data Summer Conf in Odessa, Ukraine -- a conference that will host subject matter leaders and international experts in the data management space. The organizers said the goal is to "get data techies together, build a strong community and have fun here near the Black Sea coast, where the water meets the horizon." Akmal's talk is titled, "Apache Ignite + Apache Spark RDDs and DataFrames integration."
Big Data, San Francisco v 5.0 is happening July 18! Sponsored by GridGain Systems, catch a talk by our Denis Magda titled: “Adding Speed and Scale to Existing Applications with No Rip and Replace Using Apache Ignite.” Join 100+ #DataScientists for the #BigData Meetup! Free but must RSVP! http://bit.ly/v5BigData Location: WeWork Embarcadero Center 2 Embarcadero Center San Francisco, CA 94111
Join us July 18 for a special "Christmas in July" gathering of the London In-Memory Computing Meetup! Santa will present one lucky attendee with an Xbox One S and other prizes in our exciting in-memory raffle. Alert your colleagues and RSVP now to cool-off in our new air-conditioned location at the exclusive ETC Venues space at Moorgate Bonhill House, 1-3 Bonhill Street, London EC2A 4BX.
On Thursday, July 12, the Moscow office of KROK will host a regular meeting of the Moscow community of Java developers. This time attendees will hear about the Machine Learning, Meetup guest, Alexey Zinoviev, is the author of trainings and reports on Apache Spark and Apache Ignite, сontributor inot Ignite ML (SVM, KNN, Logistic Regression, Prerpocessing and etc.).
In-memory computing technologies such as in-memory data grids (IMDG) and databases (IMDB), NoSQL and NewSQL databases can make so many things easier for a developer. But implementing DevOps for these distributed technologies and the related storage can be difficult. Luckily Kubernetes has come to the rescue! Learn how Kubernetes can orchestrate a distributed database or in-memory computing solutions using Apache Ignite as an example. This session will explain how to:
We invite you to the summer meeting of Apache Ignite Community in Moscow. Let's talk about how Open Source concept works in case of Apache Ignite, see the the real code example of using Apache Ignite and listen to the special guest.
GridGain is proud to be a sponsor of London Fintech Week 2018. London Fintech Week is a series of conferences, exhibitions, workshops, hackathons, meetups and parties. Each day we focus on a different topic. We always ensure that there is plenty of time for networking and meeting other innovators. The main conference/exhibition takes place at the QEII Centre in Westminster, but other events take place across the City of London, Canary Wharf and “Tech City.”
In this webinar, Akmal Chaudhri, GridGainTechnical Evangelist, will introduce the fundamental capabilities and components of an in-memory computing platform with a focus on Apache Ignite, and demonstrate how to apply the theory in practice. With increasingly advanced coding examples, architects and developers will learn about: Cluster configuration and deployment Data processing with key-value APIs Data processing with SQL This is Part 1 of a 2-part webinar series designed for software developers and architects.
Lors de ce webinar, Akmal Chaudhri, Promoteur de Produit pour GridGain Systems, présentera les capacités et les composantes fondamentales de la plateforme d’In-Memory Computing avec Apache Ignite et vous expliquera comment passer de la théorie à la pratique.
When deployed properly, it's hard to beat a horizontal distributed architecture's scalability, availability and reliability. The trick is deploying it properly to compensate for individual node, data or network failures. Learn some of the best practices for setting up your clusters properly to maximize availability, reliability and flexibility for future needs.
Denis Magda, director of product management at GridGain Systems and Vice President of the Apache Ignite PMC, will present: "Distributed Database DevOps Dilemmas? Kubernetes to the rescue!" Distributed databases can make so many things easier for a developer, but not always for DevOps. Kubernetes has come to the rescue with an easy application orchestration!
Join us June 27 for the next gathering of the NYC In-Memory Computing Meetup! We'll be meeting at WeWork, 575 Fifth Ave in the 14th-floor lounge. Agenda: